
"""simple docstring"""



def 			_UpperCamelCase						(    _A       ,   _A       ,   _A   )     ->	bool:





    """simple docstring"""

    return not any(
        neighbour == 1 and colored_vertices[i] == color
        for i, neighbour in enumerate(_A   )   )


def 			_UpperCamelCase						(    _A       ,   _A       ,   _A       ,   _A   )     ->	bool:





    """simple docstring"""

    if index == len(_A   ):
        return True

    # Recursive Step
    for i in range(_A   ):
        if valid_coloring(graph[index]       ,   _A       ,   _A   ):
            # Color current vertex
            _UpperCAmelCase        = i
            # Validate coloring
            if util_color(_A       ,   _A       ,   _A       ,   index + 1   ):
                return True
            # Backtrack
            _UpperCAmelCase        = -1
    return False







def 			_UpperCamelCase						(    _A       ,   _A   )     ->	list[int]:





    """simple docstring"""

    _UpperCAmelCase        = [-1] * len(_A   )

    if util_color(_A       ,   _A       ,   _A       ,   0   ):
        return colored_vertices

    return []

"""simple docstring"""



from ....configuration_utils import PretrainedConfig
from ....utils import logging


a       :						Dict       		=		logging.get_logger(__name__)

# TODO: upload to AWS
a       :						Tuple       		=		{
    '''yjernite/retribert-base-uncased''': (
        '''https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json'''
    ),
}




class 		a_    (			_UpperCAmelCase						):
    a   :					int			     =					'retribert'







    def __init__(      self      :							Optional[Any]  ,       __UpperCamelCase      :							Optional[Any]=3_05_22  ,       __UpperCamelCase      :							int=7_68  ,       __UpperCamelCase      :							Any=8  ,       __UpperCamelCase      :							Dict=12  ,       __UpperCamelCase      :							List[Any]=30_72  ,       __UpperCamelCase      :							List[Any]="gelu"  ,       __UpperCamelCase      :							Optional[int]=0.1  ,       __UpperCamelCase      :							int=0.1  ,       __UpperCamelCase      :							Union[str, Any]=5_12  ,       __UpperCamelCase      :							Dict=2  ,       __UpperCamelCase      :							Tuple=0.0_2  ,       __UpperCamelCase      :							List[str]=1e-12  ,       __UpperCamelCase      :							int=True  ,       __UpperCamelCase      :							str=1_28  ,       __UpperCamelCase      :							Union[str, Any]=0  ,       **__UpperCamelCase      :							Any  ,       )		->List[Any]:






        '''simple docstring'''






        super().__init__(pad_token_id=__UpperCamelCase  ,       **__UpperCamelCase  )

        _UpperCAmelCase        = vocab_size
        _UpperCAmelCase        = hidden_size
        _UpperCAmelCase        = num_hidden_layers
        _UpperCAmelCase        = num_attention_heads
        _UpperCAmelCase        = hidden_act
        _UpperCAmelCase        = intermediate_size
        _UpperCAmelCase        = hidden_dropout_prob
        _UpperCAmelCase        = attention_probs_dropout_prob
        _UpperCAmelCase        = max_position_embeddings
        _UpperCAmelCase        = type_vocab_size
        _UpperCAmelCase        = initializer_range
        _UpperCAmelCase        = layer_norm_eps
        _UpperCAmelCase        = share_encoders
        _UpperCAmelCase        = projection_dim